Understanding scientific collaboration from the perspective of collaborators and their network structures

Zhang, Chenwei; Bu, Yi; Ding, Ying

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https://hdl.handle.net/2142/89424 Copy

Description

Title

Understanding scientific collaboration from the perspective of collaborators and their network structures

Author(s)

Zhang, Chenwei; Bu, Yi; Ding, Ying

Issue Date

2016-03-15

Keyword(s)

• coauthorship networks
• exponential random graph models (ERGMs)
• scientific collaboration
• bibliometrics

Abstract

Scientific collaboration is one of the key factors to trigger innovations. Coauthorship networks have been taken as representations of scholars’ collaboration for a long time. This study investigates how the authors’ attributes and the coauthorship network structures simultaneously influence the scientific collaboration among them. Exponential random graph models (ERGMs) are adopted in this research. We find that an author has a propensity to coauthor with the other scholar if they have different levels of productivity. We also find that the effect of network’s transitivity strongly influence authors’ collaboration. We demonstrate that taking the effects from both authors’ attributes and the network structures into consideration helps gain a comprehensive understanding of scientific collaboration.

Publisher

iSchools

Series/Report Name or Number

IConference 2016 Proceedings

Type of Resource

text

Language

eng

Permalink

http://hdl.handle.net/2142/89424

DOI

https://doi.org/10.9776/16470

Copyright and License Information

Copyright 2016 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.

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